Method for interactive training and analysis

ABSTRACT

Apparatus and methods are provided that can display selected predetermined postures or predetermined motions on a frame by frame basis or as a continuous motion for imitation or emulation by a system user or subject to, for example, learn the motion or posture, or to be guided in rehabilitation from a trauma, surgery or other injury, or to permit comparison of the users posture or motion to a baseline posture or motion for purposes of analysis or diagnosis.

RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No.13/682,720 filed Nov. 20, 2012 and claims priority from U.S. patentapplication Ser. No. 61/562,494 filed on Nov. 22, 2011.

FIELD

The present invention pertains to motion capture systems and methods, ingeneral, and to motion capture systems and methods to capture, display,and process data representative of a subject emulating or imitating anobject in real time, in particular.

BACKGROUND

People improve skills through an iterative process often cluttered withpeer suggestions, presumptions and lore. For those who hire instructors,the process may be faster, but it's also more expensive. In both cases,those learning typically interpret suggestions, instructor comments orvideo analyses. They then convert the perceptions to action. New habitsare formed after extended repetition of those refined motions. Witheffort, the altered motions reflect desirable changes and betterperformance. For most of us—with or without an instructor—the process ispainfully slow.

Taking instruction from someone is not easy, particularly whereprecision or particularized motion is required. Add complexity of anysort and the difficulty increases. When one's goal is to create habitsof the newly refined motor skill, the task is complicated further.Pictures or video can simplify the process, but the task remainsdifficult.

Video capture and playback of a user performing a physical activity ormotion is often used to train users to perform and/or refine specificmotions or activities. Such use is supported by research, which hasshown that systematic video presentation of visual cues can improvemotor skill development. Golf instructors, for example, use video toolsto display a student's swing relative to a professional's, pointing outsimilarities and differences during their critiques.

Such tools have limits. Among them: 1) the user passively watches thecaptured video, comparison or analysis after execution; 2) thirdparties, e.g., golf instructors, often conduct the analysis and explainrather than represent corrective action, explanations that users mustinterpret; and 3) the user must then attempt to incorporate the insightsof the third party at a later time. The iterative process can berewarding, but is also slow, imprecise, tedious and frustrating. Thesuccess of this review-and-repeat method is limited by a number offactors. The factors include user fatigue, user boredom, inability ofthe user to identify the ways in which his or her motion or activitydiffers from the ideal, and the short-term kinesthetic memory of humans.

It is desirable to provide a system and method that improves on theprocess of learning or improving of specific skills and motions.Further, it is desirable to provide real time comparisons. Suchcomparisons can be visual, data centric or both to improve the learningprocess.

Related to the need to provide such a system and method is the need toprovide for assessment and/or rehabilitation for injuries. If the systemand method facilitates comparison of a user's current motion to a motionthey might desire, so much the better.

One such injury of consequence is concussion. Concussions in sports hasbecome such a significant issue that various organizations haveindicated that concussion assessments should be provided for allsusceptible athletes. Ideally, susceptible athletes conduct assessmentsprior to participating in their respective sports to establish baselineresults. Such baseline results enable post-injury assessmentcomparisons.

Athletic team coaches and/or team physicians must implement a concussionmanagement program for student athlete health and to minimize associatedathletic program legal liability.

Typically such assessments should include postural stability or balanceassessments.

The ability to maintain stability in an erect posture is a skill thatthe central nervous system learns using information from passivebiomechanical elements, sensory systems and muscles.

The maintenance and control of posture depends on the integrity of thecentral nervous system, visual system, vestibular system andmusculoskeletal system. In addition, postural control depends oninformation from receptors located in and around the joints as well ason the soles of the feet.

The central nervous system must be able to detect and predictinstability and must be able to respond to all of the inputs withappropriate outputs to maintain equilibrium of the body.

Balance assessments, particularly when baseline data is available,represent one of many factors qualified healthcare professionals willuse in concussion evaluations.

Video and playback of a user performing a physical activity or motion aswell as postural stability or balance assessment can use advantageouslymotion comparison and analysis.

Unfortunately, motion comparison and analysis in existing tools requiresindividuals skilled in interpreting image difference through visualcues, frame by frame video comparison, and both activity specificexperience and expertise. Further, access to comparative video content,specialized video capture equipment, and qualified evaluation expertisecan be time, cost, and alternative limited.

One problem with existing alternatives in the market for comparing auser's motion with an ideal motion is that no existing product allowsthe user to watch his or her own motion in real-time as they mimic anideal motion.

Existing alternatives are hampered in their effectiveness by providingvideo analysis tools viewed by users after motion recording, i.e., videoanalyses and motion comparisons; requiring carefully placed andmonitored sensors to gather data; relying on graphical, stylized, orgeneralized anatomical physiology representations of user motions, orother augmentations; requiring the presence of experts or the deliveryof expert review; or combinations of these factors that delay visualfeedback.

SUMMARY

In various embodiments of the invention, apparatus and methods areprovided that can display selected predetermined postures orpredetermined motions on a frame-by-frame basis or as a continuousmotion for imitation or emulation by a system user or subject to, forexample, learn the motion or posture, or to be guided in rehabilitationfrom a trauma, surgery or other injury, or to permit comparison of theusers posture or motion to a baseline posture or motion for purposes ofanalysis or diagnosis.

One embodiment comprises a database containing images and data of atleast one stored object motion. The database is coupled to a computer.The embodiment further comprises a capture system configured to transmita subject motion to the computer. The computer is programmed to scale adefined parameter common to the subject motion and the object motion,calculate compliance between the subject motion and the object motionrelative to the defined parameter, and create a composite overlay fromthe subject motion and the object motion. The embodiment also comprisesa display to display, in real time, the composite overlay.

The stored object motion comprises data for predetermined motions acrossa range of age, health, and condition.

A display provides selectable backgrounds behind the subject.

In one embodiment, a method is provided for determining compliance of asubject motion to an object motion. The embodiment comprises providing amotion capture apparatus capable of motion detection, providing adisplay; providing a memory or storage comprising at least one objectmotion; providing a computer programmed to communicate with the motioncapture apparatus, the display, and the memory or storage; operating themotion capture apparatus and the computer to capture and store a subjectmotion; operating the computer to scale subject motion and the objectmotion relative to a defined parameter common to both the subject motionand the object motion, calculating a degree of compliance between thesubject motion and the object motion, generating a composite overlay ofthe subject motion and the object motion, and displaying the compositeoverlay and degree of compliance in nearly real-time.

One embodiment comprises: selecting one of a predetermined object in oneof a plurality of predetermined positions and the predetermined objectin motion, displaying to a subject a visual representation of theselected predetermined object in one of a plurality of predeterminedpositions and the predetermined object in motion; capturing video anddata representations of the subject imitating the selected predeterminedobject in one of a plurality of predetermined positions and thepredetermined object in motion; and utilizing the data representationsof the subject in combination with data representations of the one of apredetermined object in one of a plurality of predetermined positionsand the predetermined object in motion.

An embodiment may further comprise utilizing the data representations todetermined posture or postural stability of the subject.

An embodiment may further comprise comparing the data representations ofsaid subject to data representations of one of a predetermined object inone of a plurality of predetermined positions and the predeterminedobject in motion to generate comparison data.

An embodiment may further comprise utilizing the comparison data tocompute postural stability of the subject; scaling the video and datarepresentations of the subject to the video and data representations ofthe predetermined object; displaying the scaled video representation ofthe subject with the predetermined object in real time; and utilizingthe comparison data to compute postural stability of the subject.

The method may comprise capturing video and data representations of thesubject in one of a plurality of predetermined positions and the subjectin motion, and utilizing the captured video and data representations ofthe subject as the predetermined object in one of a plurality ofpredetermined positions and the predetermined object in motion.

The method may further comprise utilizing the comparison data to computepostural instability of the subject.

The method may further comprise utilizing the captured datarepresentations of the subject to determine centers of gravity for saidsubject; and utilizing the centers of gravity for the subject to computepostural instability of the subject.

The method may further comprise initially capturing simultaneous videoand data representations of the subject in one of a plurality ofpredetermined positions and in motion; storing the initially capturedvideo and data representations; and utilizing the stored initiallycaptured video and data representations of said subject as thepredetermined object in one of a plurality of predetermined positionsand the predetermined object in motion.

The method may further comprise utilizing the data representations tocalculate sway index angles and sway index positions for the subject.

A further embodiment may comprise providing motion capture apparatusoperable to capture three-dimensional video and data representations ofa subject on a frame-by-frame basis; locating a subject in front of themotion capture apparatus; having the subject maintain each of aplurality of predetermined postures each for a predetermined period oftime; and utilizing the motion capture apparatus to capture simultaneousvideo and data representations of the subject on a frame-by frame-basis.

The method may further comprise automatically determining a subjectcenter of gravity (COG) for each frame of the frame-by-frame datarepresentation; selecting for each posture of the predetermined posturesa COG for a predetermined frame of data as a reference COG for each ofthe predetermined postures; utilizing the reference COG to determine areference vector for each of the predetermined postures; utilizing eachCOG for each frame of data to calculate a frame vector; automaticallydetermining and storing a sway angle between the reference vector andeach frame vector; determining standard deviations of each sway angleduring each predetermined period of the test to represent a sway indexangle; automatically averaging sway index angles for all of the framesfor each predetermined posture; and providing a results summarycomprising the averaged sway index angles.

The method may further comprise: automatically calculating and storingfor each frame the length of a vector between the location of thereference COG and the location of the subject COG of the frame;automatically determining a standard deviation of each vector length torepresent a sway index position; averaging the sway index position forall of the frames for each predetermined posture; and providing theresults summary comprising the averaged sway index positions.

The method may further comprise: displaying a mirror image of thesubject as captured by the motion capture apparatus; displaying a visualrepresentation to the subject to illustrate one of a predeterminedplurality of predetermined test postures for the subject to emulate orimitate.

The method may further comprise displaying a visual representation tothe subject for each of the predetermined postures.

The method may further comprise utilizing the motion capture apparatusto collect and store video representations of the subject on aframe-by-frame basis; displaying a visual representation to the subjectfor each of the predetermined postures; generating composite visualrepresentations of the subject and video and data representations of apredetermined object; displaying a composite of the subject and a videoand data representation of a predetermined object; and displaying eitherthe subject or object representation as one of a transparent andsemitransparent image overlay.

In a further embodiment, a method comprises displaying a visualrepresentation of a predetermined object; instructing a subject toimitate the position of the object; capturing video and datarepresentations of the subject; generating a composite representation ofthe predetermined object visual representation and the visualrepresentation of the subject; and comparing the data representation ofthe subject and the data representation of the predetermined object togenerate comparison data.

Yet a further embodiment comprises displaying a visual representation ofa predetermined object in motion; capturing video and datarepresentations of a subject in motion imitating the object in motion;generating a composite visual representation of the predetermined objectvisual representation and the subject visual representation; andcomparing the data representations of the subject in motion and datarepresentations of the predetermined object in motion to generatecomparison data.

A further embodiment comprises displaying a visual representation of apredetermined object in a predetermined position; capturing video motionrepresentations and data representations of a subject imitating thepredetermined object in the predetermined position for a predeterminedtime period; generating a composite visual representation of thepredetermined object visual representation and the subject visualrepresentation; and comparing the data representations of the subjectand data the predetermined object to generate comparison data.

A further method comprises sequentially displaying visualrepresentations of a predetermined object in a plurality ofpredetermined positions; capturing video and data representations of asubject imitating the predetermined object in each of the predeterminedpositions; generating a composite visual representation of thepredetermined object visual representation in each of the predeterminedpositions and corresponding ones of the visual representations of thesubject; and comparing the data representations of the subject and datarepresentations of the predetermined object to generate comparison data.

A further method comprises displaying a visual representation of apredetermined object; instructing a subject to imitate the position ofthe object; capturing video and data representations of the subject;generating a first composite representation of the predetermined objectvisual representation and the visual representation of the subject; andcomparing the data representation of the subject and the datarepresentation of the predetermined object to generate first comparisondata.

One embodiment of a method of operating a system comprising a motioncapture apparatus operable to capture video and data representations ofa subject, and a computer in communication with said motion captureapparatus is provided. The method comprises: capturing on aframe-by-frame basis three-dimensional video and data representations ofa subject attempting to maintain each of a plurality of predeterminedpostures each for a predetermined period of time; providing one or moreprograms executable by the computer. The one or more programs areexecuted by the computer such that the computer utilizes the datarepresentations to calculate postural stability of the subject.

The one or more programs executed by the computer causes the computer toautomatically calculate sway index angles and sway index positions forthe subject.

The one or more programs executed by the computer cause the computer tocompare previously calculated postural stability of the subject withcurrently calculated postural stability of the subject.

In an embodiment of a system in accordance with the principles of theinvention, the system comprises motion capture apparatus. The motioncapture apparatus is operable to capture video and data representationsof a subject and to identify a plurality of predetermined points on therepresentation of the subject. The system comprises a processor coupledto the motion capture apparatus and a memory coupled to the processor.The database stores predetermined video and data representations of anobject. The system further comprises a display coupled to the processor.The system comprises one or more programs executable by the processorsuch that the processor displays the predetermined visual representationon the display, instructs a subject to imitate the position of theobject, captures video and data representations of the subject via themotion capture apparatus, generates a composite visual representation ofthe subject and the representation of the predetermined object, displaysthe composite visual representation, and compares the datarepresentation of the subject and the data representation of thepredetermined object to generate comparison and/or compliance data.

The one or more programs may further be executable to calculatecompliance between the subject motion and the object motion relative toa defined parameter.

A further embodiment is one or more application programs executable by acomputer in conjunction with a motion capture apparatus, such that thecomputer displays a predetermined visual representation on the display,instructs a subject to imitate the position of the object, capturesvideo and data representations of the subject via the motion captureapparatus, generates a composite visual representation of the subjectand the representation of the predetermined object, displays thecomposite visual representation, and compares the data representation ofthe subject and the data representation of the predetermined object togenerate comparison and compliance data.

BRIEF DESCRIPTION OF THE DRAWING

The invention will be better understood from a reading of the followingdetailed description of several embodiments in conjunction with drawingfigures in which like reference designators identify like elements, andin which:

FIG. 1 is a system block diagram;

FIG. 2 depicts use of the embodiment of FIG. 1;

FIG. 3 further depicts use of the embodiment of FIG. 1;

FIG. 4 is a frame-by-frame sequence;

FIG. 5 illustrates method steps;

FIG. 6 illustrates method steps; and

FIG. 7 illustrates method steps.

DETAILED DESCRIPTION

Game systems and software are commercially available that allow the userto interact with the software by moving his or her body and/orappendages. The systems employ motion capture apparatus. The motioncapture apparatus detects and captures motion and movement of a user anda representation of the user is inserted into the game application.Typically the motion of the user is inserted into the game video as asoftware generated avatar. This heightens the user's feeling ofimmersion into the game or software application. Rather thanmanipulating a joystick or controller, the user moves his or her ownappendages to control the game play. The motion capture apparatus “sees”the user's motion and portrays a game avatar's motion accordingly.

The motion capture apparatus comprises both hardware and software thatcapture video representations of a user and three-dimensional datarepresentations of the user. The motion capture apparatus mayautomatically identify predetermined points on a body and utilize thosepredetermined points to determine movements of the body and itsappendages. The motion capture apparatus provides the videorepresentations and three-dimensional data representations as outputs.

As used herein, the term “subject motion” is used to refer to a user'sphysical motion that is captured for the purpose of comparativeanalysis, and displayed as an element of a composite image.

As used herein, the term “object motion” indicates a stored motionagainst which comparisons are made, and displayed as an element of thecomposite image. The stored motion is previously captured to produce therelated activity. The stored, previously captured motion may, in variousembodiments depend on the topic, for example, be that of a professionalathlete, a physical trainer, a musician, or in some instances the user'spreviously recorded motion.

The term “frame” of either the subject motion or the object motionindicates the data and image from a select time sequence of a capturedmotion. When frames of either the subject motion or the object motion orboth are sent to a display for viewing and/or emulation, such frames arereferred to as a subject frames or images, or object frames or images.

The term “frame region” refers to a subset of a discrete framereferenced using a specific mathematical coordinate system.

The term “composite image or composite overlay” indicates the result ofcombining the data and image from a discrete frame of the subject motionwith the data and image from a discrete frame of the object motion(figuratively, an overlay of one over the other).

The term “real-time” indicates that the speed the system updatescomposite images and calculations is at a rate that a user may perceiveas relatively continuous and instantaneous, or at least at a rate thatmakes delays in updates virtually imperceptible.

Turning now to FIG. 1, system 100, comprises motion capture apparatus101, a computer 103 coupled to the motion capture apparatus, a display105 coupled to computer 103, and a man-machine interface 107 coupled tocomputer 103.

Motion capture apparatus 101 may be one of several commerciallyavailable units. Motion capture apparatus 101 utilizes a depth sensor,at least one camera and an electronics module to track movements ofobjects and individuals in three dimensions and to provide full-bodythree dimensional motion capture. The depth sensor typically comprisesan infrared laser projector combined with a sensor, which captures videodata in three dimensions under any ambient light conditions.

Two-dimensional capture yields motion into, through and out of a flatframe of reference, including side-to-side and up-down motions. Thethird dimension capture includes motion forward-and-backward within theframe. Captured data includes angles orthogonal to the capture system'sprimary frame of reference.

Motion capture apparatus 101 is operable to provide digital images andto convert the digital images to digital data in a predetermined formatpre-staged for analysis. At least a portion of the analysis is providedby motion capture apparatus 101 in various embodiments. Computer 103comprises a memory or storage 109 a. Memory or storage 109 a comprises adatabase 109 that in turn comprises captured video and datarepresentations for at least one object.

Computer 103 comprises a comparison program 113 stored in program memory111 and executable to produce a comparison of the captured subjectmotion with a selected object motion stored in database 109. Computer103 utilizes the comparison to produce a composite overlay for displayon display 105. The resulting composite overlay contains data in allthree physical dimensions that may also be referenced in a time sequenceon a frame-by-frame basis.

System 100 is useful to train participants and users in many fields ofendeavor. Sports and musical performance in particular benefit fromrepetition of complex motions; a baseball player trains to emulate afamous hitter's swing, while a violinist trains to emulate a famousmusician's bow stroke.

System 100 includes applications to a wide range of endeavors, includingother precise mechanics-oriented sports such as baseball, softball,golf, basketball shooting, volleyball, tennis, table tennis, badmintonand squash to name a few. System 100 may include activities that havespecialized techniques such as in power lifting, martial arts, tai chi,and yoga.

In all applications, system 100 permits a user to see how his subjectmotion compares to an object motion.

System 100 is operable to store captured video and data representationsof a subject or user in database 109. This provides the capability tocreate subject specific one or more “physiological performancebaselines”, each of which indicates a user recorded protocol for mentaland physical tests.

System 100 may also be utilized in medical rehabilitation for traumasurvivors. A stroke victim, for example, can retrain his muscles toregain lost functionality.

In a representative application for athletic training a user firstselects one object motion from a plurality of object motions. Forexample, the user may select Ted Williams' baseball swing. After makingthe selection, the user watches a recording of Ted Williams' baseballswing.

When the user is ready, the user stands before a motion captureapparatus 101.

A calibration sequence is initiated. In the calibration sequence, motioncapture apparatus 101 and computer 103 identify and measures the user'sheight, arm length, etc. to scale the user's subject motion to theobject motion.

Computer 103 displays an object image first discrete frame from theobject motion sequence.

The subject or user mimics the object image in the first frame. When thesubject or user has mimicked the object image with a predetermineddegree of compliance, computer 103 displays the next object image in thesequence. This process continues until the user mimics each object imagein the sequence with a sufficiently high degree of compliance to satisfya preselected threshold of a chosen standard.

The term “reference standard” or “standard” indicates how strictly theuser's motion will be assessed relative the object motion. A highstandard has narrow parameters, which dictates that the subject motionmust closely resemble the object motion. Conversely, a low standard haswide parameters, which dictates that the subject only generally resemblethe object motion. Once calibration is complete, calculations willdetermine if user achieved success (relative the standard). Whenpossible, the standard names are expressed in language familiar to theselected sport or field of endeavor. Using the parlance of baseball, thestandards include ‘coach-pitch’, ‘little league’, ‘high school’,‘collegiate’, ‘semi-pro’, etc. As implied by the standard names, theparameters become more rigorous. Metrics within the standards includedegree (%) of compliance (defined below) and consecutive days achievinga given standard.

Subject-object motion compliance or degree of compliance is anindication of the similarity of a subject motion to an object motionrelative a reference standard. The system calculates and presents thedegree of compliance for individual frames, series of frames, and thesequence as a whole. Expressed as a percentage, it tells the user howclose he is to mimicking the object motion.

FIG. 2 illustrates one embodiment of system 100 in use. In thisembodiment, a user or subject 200 watches images 215 of an object ondisplay 105 that, along with data, have been combined by computer 103into a composite overlay displayed by display 105.

Subject 200 sees a composite image, which combines a representation 220of himself in real time overlaying a displayed object motion 215 that heattempts to emulate or imitate. The composite overlay shown on display105 reveals the motion similarities and differences so they are readilyvisible.

In this example, the subject or user 200 desires to improve his baseballbat swing. Motion capture apparatus 101 captures data and video imagesof subject or user 200 as he swings a bat. The captured data and imagesare provided to computer 103. Computer 103 displays the subject or useras subject image 220 on display 105. In this embodiment, subject image220 is displayed as a solid monochromatic outline. Object image 215 iscoincidentally displayed on display 105. Object image 215 is displayedas a dotted monochromatic outline. Similarities and differences in thesubject image 220 and the object image 215 are readily apparent to theuser. To reflect partial emulation, the composite overlay of the subjectimages 220 and the object images 215 begin merging. Where the subjectimage 220 and object image 215 diverge, the body positions of thesubject or user 200 and the individual being emulated represented byobject image 215 differ, i.e., the images 220, 215 do not align.

FIG. 3 depicts a variation of the embodiment of FIG. 2. Again, user orsubject 200 watches images 215 of the object on display 105 that, alongwith data, have been combined by computer 103 into a composite overlay.This time, however, the image 220 of the user's swing is perfectlysynchronized with the object motion 215. The composite of user andobject motions appear as one.

Composite image 215 and 220 reveals no differences in the body positionsof the user 200 and the motion being emulated. Emulation of this stageof the object motion is complete as denoted by stars 300 shown ondisplay 105.

Motion capture apparatus 101 captures video representations and datarepresentations on a frame-by-frame basis. By capturing the videorepresentations of the object with motion capture apparatus 101, theobject motion may be played back and displayed on a frame-by-framebasis.

In one embodiment, system 100 displays one frame of the object motion sothat the object is in a static posture. The subject can then emulate orimitate the static posture. System 100 using motion capture apparatus101 captures the position of subject 200. When subject 200 is in astatic posture that coincides with the displayed object, system 100advances the frame of the displayed object. System 100 may skip apredetermined number of frames. Emulating or imitating various staticpostures may enhance the learning of the object's motion by subject 200.Once subject 100 has correctly emulated or imitated each selected staticposition, the process may be repeated. The process may be repeated anumber of times. Once the subject feels that he has learned the staticpositions, system 100 may then display the object in continuous motion.The continuous motion may be at slow speed until subject 200 emulatesthe motion in dynamic coincidence with the object motion. The speed ofthe object motion may then be increased to full speed.

For each frame, system 100 displays a green image outline superimposedon the displayed image 220 of the user when the user's batting swingmimics the object swing to provide positive reinforcement.

In addition to the user receiving positive reinforcement from the greenimage outline when the user's batting swing mimics the object swing, theuser is able to see when his swing is out of synch with the objectswing.

The training starts at a slow tempo to simplify learning the mechanicsof the motion.

Progression to higher tempos may be controlled by an affirmative userselected choice or by a system-driven auto-progression to higher temposupon successful lower tempo compliance.

After instruction on timing cues, the user works on swing timing byswinging at computer-generated virtual pitches.

While the user focuses on hitting virtual pitches, system 100 generatesdegree of compliance scores to reveal how the swing breaks down underthe pressure of accelerated or repetitive performance compared to thatof the object motion.

FIG. 4 illustrates a representative frame-by-frame sequence of a motionfor a detailed presentation of a portion of the object motion.Initially, subject 200 is shown object frame 410. Once subject 200correctly obtains a static posture in coincidence with the staticposture shown in frame 410, system 100 advances to frame 430 anddisplays frame 430 to subject 200. Once subject 200 correctly obtains astatic posture in coincidence with frame 430, system 100 advances toframe 450 and displays frame 450 to subject 200. The intermediateframes, shown representatively by frames 415, 420, 425 and 435 areskipped in this process. However, when full motion of the object is tobe displayed, all frames are shown in sequence to provide a full motionvideo.

If the subject 200 achieves low compliance with frame 430, thenintermediate frames 415, 420, 425, 430, 435 are displayed at a tempoappropriate for seamless integration to help raise the compliance scorethe subject or user achieves at frame 430.

Computer 103 may provide displays of the sub-frame progression at a muchslower pace than the pace of the primary frame progressions. Thesub-frame progressions can then be speeded up to allow seamlessintegration with the primary sequence progressions. This raisescompliance scores for a section of the motion sequence and will raisethe compliance score for the motion sequence as a whole.

System 100 is operable to selectively compare a user's real-time motionto pre-stored object motion sets stored in database 109. Pre-storedobject motion sets stored in database 109 may include:

-   -   an “ideal” motion for a desired action as produced by a computer        model;    -   motions from recognized practitioner experts, such as, for        example, athletes, musicians or others;    -   motions associated with interim steps of a progressive learning        curve and/or motions necessary to rehabilitate muscle sets        toward desired motions, e.g., motions that isolate selected        muscles or rehabilitative limited range of motion exercises;    -   varietal stored motions for situations in which there is no        single “ideal” motion, e.g. a flat or upright golf swing and/or;    -   a subject's previous use of the system.

System 100 helps users learn and consistently perform a particularmotion in near real time through repeated comparison and adjustment.Third party expertise is not required.

System 100 also may provide an objective basis for real-time motioncomparison. Such evaluations may be conducted by the subject or by anevaluation expert, whether or not the subject and evaluator are in thesame physical proximity.

Turning now to FIG. 5, an overview of the operation of system 100 isshown. At step 501, a user selects an emulation application. Man-machineinterface 107 is utilized to select the specific application.

Computer 103 sends a menu of object motions to display 105 and/orman-machine interface 107.

At step 503, a menu of object motions for emulation is displayed ondisplay 105. The menu includes a selection of object motions foremulation. For example, the selection comprises a professional's motion,a computer model of an “ideal” motion, or a previously recorded subjector user motion.

Using man-machine interface 107, the user selects an object motion to beemulated at step 505.

At step 507, the selected motion is displayed on display 105 in a fluid,full speed video clip. In various embodiments, the video clip may berepeated in slow motion to help the user see motion nuances. The motionmay also be presented as a series of discrete frames 410, 430, 450 asillustrated in FIG. 4. Presented in sequence, the frames unmistakablyresemble the ideal motion.

System 100 provides a calibration step 509. The subject or user receivesdirections for being positioned at an optimal location in front ofmotion capture apparatus 101.

Motion capture apparatus 101 transmits data relative to the user'sposition to computer 103 as it detects specific reference points andisolated movements at step 511. The captured reference point data mayinclude the user's stance, height, body width, extended arm length, andmovements like jumps, turns, vertical and/or horizontal arm movement,etc. Computer 103 utilizes the reference points captured to scale thecaptured subject representation to the object representation.

Computer 103 compares data and/or images representing the scaled subjectcompared to object motion data, to calibrate the scaled subject motionenable appropriate calculation and overlay in real time and/orsubsequent analysis at step 513. Computer 103 processes the physicalattributes data to scale the anticipated subject motion to dimensionsappropriate for the selected object motion.

Calibration step 513 provides the basis for meaningful visualcomparisons of the subject and object motions that follow. Calculationsare performed and scalar elements are identified. Object motion isstored in layered and interlaced data arrays relative to a variable timescale.

For each frame of subject motion captured, the scalar reference allowsfor comparison against the object motion such that motion, rather thanphysiology, is the primary focus of comparison.

Computer 103 executing calibration program 115 performs calculations foreach discrete frames captured for the subject motion. Calibrationanticipates subject motion relative to object motion, enabling moreefficient real-time computation by the computer 103 and the comparativeanalysis that follow.

Position and movement variations beyond relative physical size as aresult of significant physiological difference of subjects and objectsrequire adaptation. Such differences between a subject and object mayoccur due to age, fitness, injury, handicap, or other factors. Forinstance, the position and axis of movement for a wheel chair bound usercannot directly mimic those of a standing person.

Calibration program 115, calibration allows computer 103 to scale thecaptured representations of the subject motion such that the compositeoverlay exhibits the nearest possible geometric similarity between theobject motion and the subject motion.

The user or subject may select specific parameters common to the subjectmotion and object motion that system 100 uses to scale and compile thecomposite overlay. Such possible parameters include arm length, height,distance between feet, etc.

As briefly described above, system 100 uses object motion data from avariety of sources as baselines for comparison. In addition, objectmotion data for professional/ideal, standard and other representativecapabilities across a range of age, health, and physical conditions arestored in database 109.

Object motions stored in database 109 are stored in predefinedcoordinate systems consistent with the premise that fundamentally, allphysiological motion is defined as rotational, translational, or acombination of the two. Combined coordinate systems yield multipledimensions, and may be further layered in time by sequentialframe-by-frame motion capture. Computer 103 measures motion againstthese predefined coordinate systems. The predefined coordinate systemsmay be Cartesian, orthogonal, polar, or other spatial coordinatesystems.

Z-buffering and/or other computer graphic mechanisms are utilized torender image depth. Computer 103 maintains the image depth layer in adata array arrangement in database 109.

By way of example, Cartesian coordinates are used for the motion ofhands on a piano keyboard or other instrument and polar coordinates areused to measure a golfer's swing, or the swing of another athleticinstrument such as a baseball bat or tennis racket.

System 100 uses motion capture, calibration and coordinate systems toaffect motion comparison.

A two dimensional, i.e., X-Y, coordinate system alone is insufficientfor the comparison of physiological motion.

System 100 utilizes a three dimensional coordinate system, i.e., x, y, zcoordinates, for the required depth through the selection of coordinatesystems. Data matrices or arrays are utilized to provide layering.Providing layering permits connecting data points on one layer or onmultiple layers to create an orthogonal axis or axes, includingsimultaneous movement across multiple axes or reference coordinatesystems, or motion within the plane of engagement across time (thediscrete frame).

At step 515, the subject or user chooses a reference standard to bemeasured against and again views on the display 1055 the object motionat full speed, in slow motion, or as a selected series of discreteframes.

At step 517 computer 103 displays on display 105 the first object imageof the motion he chose to emulate.

Computer 103 also displays the subject image on display 105.

The subject image and the object image are each presented such that theyare readily distinguishable. By way of example, the images may bepresented in different color, outline, or transparency. This is shown inrepresentative fashion in FIG. 2 where subject image 220 has a solidoutline and object image 215 is show in dotted outline.

Computer 103 executing overlay program 117 creates a composite overlayof the subject motion and the selected object motion.

At step 517, the subject or user views the composite overlay in realtime permitting him to “see” how adjusting his position helps himemulate or imitate the position of the object image. When, at step 519,the subject position coincides with the object position, the compositeimage is highlighted to signal to the subject that he or she is incoincidence with the object image position

After the subject or user succeeds in getting his position tosufficiently coincide with the position of the object image, the subjectimage overlaying the object image and the object image coincide.Accordingly subject and object images displayed form a composite of one.

With the first frame of emulation or imitation completed, computer 103advances the object motion to the next frame set in the sequence and theprocess begins again. In this manner, the process repeats itself throughall frames of the object motion unless interrupted.

At step 523, computer 103 determines that the subject or user hassuccessfully emulated the last image in the object motion sequence.

Computer 103 calculates an emulation summary and displays it on display105 and/or prints it out on a printer that is not shown.

The emulation summary includes how well the user's subject motioncorresponds to the object motion. More specifically the emulationsummary comprises a compilation of “subject object motion compliance”and/or “degree of compliance” scores. In addition, computer 103 may alsoretrieve from memory 109 a predetermined recommendations forimprovement.

The term “subject-object motion compliance” or “degree of compliance”indicates the similarity of the subject motion and the object motionrelative a reference standard. Computer 103 calculates and presents thedegree of compliance for individual frames, series of frames, and thesequence as a whole. Expressed as a percentage, it tells the user howclose he or she is to mimicking the object motion.

System 100 can present the subject or user with additional options. Theuser options include exiting the program, repeating the emulation,repeating the emulation at greater or slower speed, changing thestandard, or improving the low score sections of users motion to improvehis overall compliance score. If the subject or user chooses to repeatthe emulation at a more rigorous standard, finer points of the objectmotion become more critical to achieving emulation.

Additional selective options presented in a menu to the subject or userof system 100 permits selection of frame regions of discrete componentportions of motion such as, for example, wrist, arm, shoulders or legmotion.

Each frame region is presented in turn; the user must mimic eachmechanical component of the frame region before system 100 will presentthe next one. When combined, the frame regions compose the ideal motion.The user sees how his body position(s) mimic or differs from the idealmotion, allowing the user to understand and make adjustments to themechanics of his motion.

System 100 can capture and store the motion of a subject. Oneadvantageous use of the stored motion is for playback at a future dateto show progression of improvement in learning a skill or to observetherapy progression.

A particularly advantageous use of capture and storage of the motion ofa subject is to use the captured motion as a baseline or object motionfor future comparison and analysis with newly captured subject motion.

One specific application of system 100 that utilizes captured and storedsubject motion is concussion assessment.

Professional football players create a type of baseline now that medicalprofessionals use to evaluate whether they have suffered concussions.

In addition to football, concussion potential activities ripe forparticipant-specific baselines include auto racing, bicycle racing,bobsledding, gymnastics, lacrosse, ice hockey, luge, rock climbing,skiing, snowboarding, soccer, speed skating, and springboard diving, toname a few.

System 100 permits creation of objective standards for a suspectedconcussion incident evaluation by a medical professional.

Typically such assessments should include postural stability or balanceassessments.

It is desirable that postural stability assessments include a comparisonwith a baseline assessment for each individual athlete.

When creating baseline assessments for whole teams of athletes,logistics issues exacerbate the problem beyond the choice of low costsubjective versus prior costly objective solution. Currently,individuals administer balance assessments by visual observation underthe guidance of an athletic team coach or team physician.

System 100 is operable to provide objective, low cost postural stabilityor balance assessment that may be utilized in determining concussion.

The ability to maintain stability in an erect posture is a skill thatthe central nervous system learns using information from passivebiomechanical elements, sensory systems and muscles.

The maintenance and control of posture depends on the integrity of thecentral nervous system, visual system, vestibular system andmusculoskeletal system. In addition, postural control depends oninformation from receptors located in and around the joints as well ason the soles of the feet.

The central nervous system must be able to detect and predictinstability and must be able to respond to all of the inputs withappropriate outputs to maintain equilibrium of the body.

Balance assessments, particularly when baseline data is available,represent one of many factors healthcare professionals will use inconcussion evaluations.

Posture can be defined as the relative arrangement of different parts ofthe body with line of gravity.

In static postures, the body and its segments are aligned and maintainedin certain positions.

A dynamic posture refers to postures in which the body or its segmentsare moving.

A human's center of gravity (COG), which is sometimes referred to as thebody's center of mass, is located within the body approximately at thesecond sacral segment, a location that is relatively distant from thebase of support. The human base of support (BOS) is defined by an areabounced by the tips of the heels and by a line joining the tips of thetoes.

Two different calculations are generally used to locate the center ofgravity of an individual.

The precise location of the center of gravity depends on an individual'sanatomical structure, the individual's habitual standing posture, theindividual's current position, and whether external support is provided.The location of the center of gravity remains fixed as long as the bodydoes not change shape.

One method for determining the center of gravity utilizes a massweighted sum in which the center of gravity is calculated by summing themass-weighted positions of all of the body parts. Advantageously, motioncapture apparatus 101 is operable to identify specific body parts, theirlength and position and can calculate a mass weighted sum fordetermining the center of gravity.

Another method of determining the center of gravity utilizes a fixedposition determination that locates a position on the body based uponpredetermined points on the body.

The body sways back and forth like an inverted pendulum, pivoting aboutthe ankle, at quiet stance. This swaying is referred to as postural swayand is considered as having two components. One component is referred toas AP (anteroposterior) sway, and the other is referred to as ML(mediolateral) sway. AP sway is sway in the sagittal plane and istypically ˜5-7 mm at quiet stance in young adults. ML sway is sway inthe frontal plane and is typically ˜3-4 mm during quiet stance in youngadults.

A sway index may be calculated utilizing the standard deviation of theposition of subject's center of gravity or by calculating a sway indexangle.

The relationship between the center of gravity and the sway indexposition is a defined relationship. The relationship between the centerof gravity and the sway index angle is similarly a defined relationship.

The sway angle of a given sample is defined as the angle between twovectors: a vector from a reference floor position and the subject'scenter of gravity in the first sample; and a vector from the referencefloor position and the subject's center of gravity in the currentsample. The reference floor position is defined as the subject's centerof gravity in the first sample projected onto the floor.

System 100 may be used to determine and store a sway index for abaseline or object motion for each subject.

The baseline or object motion for concussion assessment is apre-incident physiological performance baseline.

The pre-incident physiological performance baseline presents all aspectsof the baseline protocol; objective criteria like beginning posture,range of motion measurements, and exercise detail, weights, reps etc.are presented to minimize subjectivity. The physiological performancebaseline for each subject is stored in database 109 for later use inevaluation. It should be apparent to those skilled in the art thatalthough data base 109 is shown as co-located with computer 103, database 109 may be remotely located and accessible via the Internet orother digital access so that evaluation is possible on-site or remotely.

Where a concussion is suspected, the user attempts to mimic hispreviously stored pre-incident physiological performance baseline objectmotion.

In the instance of concussion assessment, using system 100 a usercreates a pre-incident physiological performance baseline that he willattempt to emulate upon suspicion of a concussion.

Turning now to FIG. 6, the operation of system 100 to provide posturalstability or balance assessment is described.

At step 601 a new subject profile is created utilizing man-machineinterface 107 with subject specific data including sex, age, heightweight and other relevant information.

At step 603 the subject is requested to assume a first predeterminedposture as shown on display 105. The subject is to maintain thepredetermined posture for a predetermined period of time.

At step 605 the subject repeats the predetermined posture for apredetermined number of times.

At FIG. 7, the method of FIG. 6 is displayed in greater detail.

At step 701, computer 103 displays on display 105 a positional guide tothe subject.

At step 703, the subject positions himself in front of motion captureapparatus. When the subject is in the correct postural position anindication is provided to the subject that he or she is in the correctposition. The indication may be provided on display 105 or by an audibleindication or any other indication communicable to the subject.

At step 705, motion capture apparatus 101 captures a digitalrepresentation and video representation of the subject, and provides therepresentations to computer 103 for analysis and storage.

At step 707, computer 103 constructs a mirror image representation ofthe captured video representation.

At step 709, computer 103 scales the mirror image and displays themirror image on display 105.

At step 711, computer 103 superimposes on the displayed mirror image atransparency that approximates the subject's size and height in theposture described by the predetermined test.

At step 713, displaying a figure to said subject to illustrate apredetermined test posture.

At step 715, computer 103 provides an indication to the subject when thesubject is in a predetermined placement in front of motion capturedevice 101.

At step 717, computer 103 displays on display 105 a visualrepresentation to the subject such that the subject may adjust hisposture by emulating the visual representation.

At step 719, when the subject has correctly aligned his posture tocoincide with that of the visual representation, computer 103 displaysthe mirror image in alignment with the visual representation beingemulated.

At step 721, computer 103 initiates a first test by beginning apredetermined time period. In one embodiment, the predetermined timeperiod for each test is 20 seconds.

At step 723, computer 103 utilizes motion capture apparatus 101 tocollect and store subject positional data and subject images on aframe-by-frame basis in database 109.

At step 725, computer 103 utilizes the stored subject positional data todetermine a subject center of gravity (COG) for each frame of subjectpositional data in real time.

At step 727, computer 103 displays a representation of each subject COGsuperimposed on the mirror image displayed on display 105 in real time.

At step 729, computer 103 has programming to determine and store asubject COG for a predetermined frame of data as a reference COG andutilizes the reference COG to determine a reference vector.

At step 731, computer 103 utilizes the subject COG for each subsequentframe of data to calculate a frame vector.

At step 733, computer 103 calculates and stores a frame sway anglebetween the reference vector and each frame vector.

At step 735, computer 103 determines the standard deviation of eachframe sway angle during the predetermined time period of the test torepresent a sway index angle for the test.

At step 737, computer 103 calculates and stores for each frame thelength of a vector between the location of the reference COG and thelocation of the subject COG of the frame.

At step 739, computer 103 determines a standard deviation of each vectorlength to represent a sway index position.

At step 741, computer 103 averages the sway index angles and the swayindex position for each predetermined posture when repeated.

At step 743, computer 103 displays on display 105 and stores in memory109 a results summary comprising the averaged sway index angles and saidaveraged sway index positions for the test.

Computer 743 repeats steps 701 through 743 for each test. Aftercompleting all the tests, computer 743 automatically prepares a datasummary of the results of all tests, along with the previously storedresults to aid qualified healthcare professionals evaluate whether thesubject has suffered a concussion or once confirmed, the status of hisrecovery.

System 100 may also be used to help rehabilitate medical patients andtrauma victims following a sports injury, accident, stroke, surgery, orother traumatic events.

If a pre-trauma baseline has been captured and stored for a patient,that pre-trauma recording may serve as an object motion in a post-traumarehabilitation program.

At the beginning of a season, for example, a professional athlete mayprepare a comprehensive physiological performance baseline motion priorto engaging in high risk activity. Assuming that the physiologicalperformance baseline performance reflects proper form, the therapistuses it in the rehabilitation protocol.

User-administered therapy sessions can supplement those with a therapistto speed recovery and reduce rehab costs.

With Internet connectivity, the therapist-patient interaction can behandled remotely. By way of example, system 100 is provided with anInternet connection 121. System 100 may be located at one location wherethe patient is tested, and the Internet connection allows transmissionof captured data or display data to a location where the therapist islocated.

System 100 has additional applications. In one embodiment, a musicstudent may learn to play a musical instrument by mimicking a storedobject motion of a teacher or virtuoso. In such an application, wherefinger position and motion are to be learned, system 100 may displayframe regions rather than whole frames, where the frame region containsthe motion of interest.

By way of example, a guitar or piano music student first watches arecording of a teacher playing scales. The music student sits in frontof a motion capture apparatus 101. Computer 103 scales the student'sperformance (the subject motion) to match the teacher performance (theobject motion) and displays on display 105 a composite image of thestudent's hand and the teacher's hand in real time. When system 100determines that the student has performed the first note in the scalewith correct fingering, it transitions to an object image of the nextnote, etc. In this application, each test is the learning of one note.

In yet a further application of system 100, a worker can perform ajob-based protocol that can later be used for training, performance,health, or safety evaluations. As with the physiological performancebaseline, the worker's captured and stored motion becomes a baseline orobject motion. The worker's subsequent attempt to mimic the earlierrecorded protocol is the subject motion.

System 100 further comprises a gaming program 125 providing aprogrammable gaming mode in addition to the learning mode described. Thegaming mode includes a plurality of options that are user selectable.The options in baseball/softball may include, but are not limited to,games such as hitting to the opposite field, hitting particular pitches,fouling off difficult-to-drive pitches, line drive hitting and home runhitting.

Computer 103 tabulates scores for each individual game. In addition, thedegree of compliance for the last object motion emulated is alsodetermined to reinforce correct motions through recreational activity.

The gaming mode follows existing protocols for single player,split-screen or multiplayer, i.e., online.

System 100 further comprises feature program 111 that computes layeredand interlaced data arrays/matrices to relationally store discreteframes against a variable time scale; matrix/array relationshipsenabling comparison of multi-linear and curvilinear motion in threedimensional space by stacking or inter-relating matrix/array layers forcomparison, replacement, or alteration; correlation and calibrationtables; configuration/settings data tables; subject data storagetemplates; and analytics for direct comparison and/or factoredcomparison of stored captured data versus real time captured data.

Feature program 111 also comprises background images against which thefield of motion may be captured or replayed by the user, for example, asports arena, golf course, workout room, batting cage, etc. Featureprogram 111 also comprises wire frame coordinate systems designed tohighlight frame regions for motion comparison. Feature program 111 alsopermits selection of subject motion captured data to be used in place ofobject motion data as the baseline for comparison. Feature program 111is executable such that a single user's subject motion may be placedsimultaneously over object frames to demonstrate user progress. Featureprogram 111 is also selectively executable such that multiple subjectidentities may be displayed over an object frame for competitive gaming.The various features provided by feature program 111 are selectedutilizing man-machine interface 107.

The term “real time” is used herein and in the appended claims. The termis used in the context of human perception. The processing of video anddata representations occurs so fast that it can be captured, processedand displayed and the subject does not perceive any noticeable delay.

The invention has been described in terms of various embodiments. It isnot intended that the invention be limited by the embodiments describedabove. It will be apparent to those skilled in the art that variouschanges and modifications may be made to the embodiments withoutdeparting from the spirit or scope of the invention. It is intended thatthe invention be limited in scope only by the claims appended hereto.

What is claimed is:
 1. A computer-program product for teaching a subjectto learn a full range of a motion performed by an object, said productcomprising a non-transitory computer-readable medium encoded withcomputer-executable instructions that, as a result of being executed bya processor coupled to a display and to motion capture apparatus, saidmotion capture apparatus capturing video representations and data inthree dimensions, said processor executes a method for teaching saidsubject to learn said full range of motion performed by said object,said processor comprising a memory, said memory comprising a databasecomprising video representations and data of said object, the methodcomprising: a. displaying on said display said full range of motion as atime stopped sequence of a plurality of object frame representations ofsaid object in motion, each said object frame representation comprisingsaid object in one time stopped stationary position of a plurality ofpredetermined sequential stationary positions representing said fullrange of motion; b. displaying on said display one object framerepresentation of said plurality of object frame representations; c.utilizing said motion capture apparatus to capture real time videorepresentations and data of said subject in real time while said subjectis moving to imitate said position of said object in said one objectframe representation; d. processing said captured video representationsand data of said subject to generate, in real time, representations ofsaid subject; e. displaying on said display in real time a compositeoverlay of one upon the other of each of said real time representationsof said subject and said one object frame representation; f. comparing,in real time, said data from said subject with said data from saidobject of said one object frame representation to determine positionalalignment of said subject relative to each said displayed said objectframe representation; g. said comparing step comprising: preselecting athreshold of compliance of a chose standard of positional alignment;calculating compliance between said subject and said object relative tosaid threshold of compliance; and determining whether said positionalalignment at least meets said threshold of compliance or does not meetsaid threshold of compliance; h. said processor automatically displayingnext object frame representation in said plurality of object framerepresentations; said next object frame representation selected by saidprocessor such that intermediate object frame representations areskipped in response to said positional alignment at least meeting saidthreshold of compliance, and said next object frame representationselected by said processor without skipping any intermediate objectframe representations in response to said positional alignment notmeeting said threshold of compliance; and i. repeating each of steps b.through h. until the last one of said object frame representations ofsaid plurality of object frame representations of said motion has beendisplayed.
 2. The computer-program product for teaching a subject tolearn a full range of a motion performed by an object in accordance withclaim 1, wherein said method comprises: sequentially displaying all ofsaid of object frame representations of said plurality of object framerepresentations in sequence to show said object in motion.
 3. Thecomputer-program product for teaching a subject to learn a full range ofa motion performed by an object in accordance with claim 1, wherein saidmethod comprises: displaying said intermediate object framerepresentations at a tempo to help said subject raise the compliancelevel in response to said positional alignment not meeting saidthreshold of compliance.
 4. The computer-program product for teaching asubject to learn a full range of a, motion performed by an object inaccordance with claim 3, wherein said method comprises: displaying saidintermediate frames at a first pace and said non-intermediate frames ata second pace, said first pace being slower than said second pace. 5.The computer-program product for teaching a subject to learn a fullrange of a motion performed by an object in accordance with claim 1,wherein said method comprises: processing said data of said subject inreal time to determine at least one of posture or postural stability ofsaid subject.
 6. The computer-program product for teaching a subject tolearn a full range of a motion performed by an object in accordance withclaim 5, wherein said method comprises: capturing a plurality of initialframes of said subject in motion; utilizing said plurality of capturedinitial frames as said plurality of object frame representations.
 7. Thecomputer-program product for teaching a subject to learn a full range ofa motion performed by an object in accordance with claim 6, wherein saidmethod comprises: utilizing said captured initial frames to computecenters of gravity for said subject on a frame-by-frame basis.
 8. Thecomputer-program product for teaching a subject to learn a full range ofa motion performed by an object in accordance with claim 7, wherein saidmethod comprises: utilizing said centers of gravity for said subject tocompute postural stability of said subject.
 9. The computer-programproduct for teaching a subject to learn a full range of a motionperformed by an object in accordance with claim 5, wherein said methodcomprises: calculating sway index angles and sway index positions forsaid subject.
 10. The computer-program product for teaching a subject tolearn a full range of a motion performed by an object in accordance withclaim 1, wherein said method comprises: scaling of one or both of saidreal time representation of said subject and said object framerepresentation.
 11. The computer-program product for teaching a subjectto learn a full range of a motion performed by an object in accordancewith claim 1, wherein said method comprises: calculating an emulationsummary, said emulation summary comprises a compilation of one or bothof subject object motion compliance and degree of compliance; anddisplaying said emulation summary.
 12. The computer-program product forteaching a subject to learn a full range of a motion performed by anobject in accordance with claim 1, wherein said method comprises:calculating said compliance for individual frames, series of frames, andthe sequence of said frames as a whole; and displaying said compliancefor individual frames, said series of frames and said sequence offrames.
 13. A computer-program product to train a subject to learn afull range of motion performed by an object, said product comprising anon-transitory computer-readable medium encoded with computer-executableinstructions that, as a result of being executed by a processorcomprising a memory, said memory comprising a data base comprising videorepresentations and data representations of said object in motion, saidvideo representations comprising a plurality of object framerepresentations, said processor coupled to a display and to motioncapture apparatus said processor executing said computer executableinstructions to execute a method for training said subject to learn saidmotion performed by said object said method comprising: a. preselectinga threshold of compliance of a chosen standard of positional alignment;b. displaying on said display one object frame representation of saidplurality of object frame representations, said one object framerepresentation comprising said object in a time stopped stationaryposition during said motion such that said subject may move to imitatesaid time stopped stationary position of said object representation; c.utilizing said motion capture apparatus to capture video representationsand data, of said subject in real time while said subject is moving intoposition to imitate said object in said one object frame representation;d. processing said object frame representation and said captured videorepresentations and data of said subject to generate and display, inreal time, composite overlays each comprising said captured videorepresentations and said one object frame representation; e.calculating, in real time, positional alignment compliance between saiddata from said subject with said data representations of said object; f.comparing said real time compliance with said threshold of compliance;g. determining whether said positional alignment at least meets saidthreshold of compliance or does not meet said threshold of compliance;h. automatically displaying a next one object frame representation; i.selecting said next one object frame representation such thatintermediate object frame representations are skipped in response tosaid positional alignment at least meeting said threshold of compliance;j. selecting said next one object frame representation such that nointermediate object frame representations are skipped in response tosaid positional alignment not meeting said threshold of compliance; andk. repeating steps b. through j. for each object frame representationuntil the last one object frame representation of said plurality ofobject frame representations.
 14. A computer-program product to train asubject to learn a motion performed by an object in accordance withclaim 13, wherein said method comprises: displaying all of said objectframe representations of said plurality of object frame representationsin sequence to show said object in motion.
 15. A computer-programproduct to train a subject to learn a motion performed by an object inaccordance with claim 13, wherein said method comprises: displaying saidintermediate object frame representations at a tempo to help saidsubject raise the compliance level in response to said positionalalignment not meeting said threshold of compliance.
 16. Acomputer-program product to train a subject to learn a motion performedby an object in accordance with claim 15, wherein said method comprises:calculating said compliance for individual frames, series of frames, andthe sequence of said frames as a whole; and displaying said compliancefor individual frames said series of frames and said sequence of frames.17. A computer-program product to train a subject to learn a motionperformed by an object in accordance with claim 13, comprising:calculating an emulation summary, said emulation summary comprises acompilation of one or both of subject object motion compliance anddegree of compliance; and displaying said emulation summary.